Customer Sentiment

Seven Best Alternatives to Reforge for Customer Feedback Analysis

Miro acquired Reforge in March 2026, and the future of Reforge Insights is uncertain. Here are seven customer feedback analysis platforms worth evaluating if your team is reassessing its VoC stack.

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Seven Best Alternatives to Reforge for Customer Feedback Analysis

Reforge Insights became a popular choice for product teams looking to aggregate customer feedback and surface themes using AI. But after Miro's acquisition of Reforge in March 2026, many teams are reassessing their feedback analysis stack. 

In this guide, we outline seven alternatives that cover the core capabilities Reforge Insights offered: multi-source feedback ingestion, AI-powered theme detection, sentiment analysis, and connection to business metrics. Some go deeper on analysis, some are broader, and a few handle problems Reforge Insights never touched.

Below is a summary of the best alternatives:

  • Unwrap: Best for AI-native feedback analysis across all channels
  • Qualtrics XM: Best for survey-driven experience management programs
  • Chattermill: Best for CX teams reporting on journey-level experience metrics
  • UnitQ: Best for product quality monitoring and bug detection
  • Thematic: Best for theme detection with strong visualization and reporting
  • SentiSum: Best for automated support ticket tagging and routing
  • Medallia: Best for enterprises with dedicated CX departments and multi-year program budgets

Unwrap – Best for AI-native feedback analysis across all channels

What Unwrap does

Unwrap is a customer intelligence platform that connects to over 3,000 feedback sources (support tickets, NPS responses, app reviews, chat transcripts, call recordings, social mentions) and uses NLP to categorize everything into structured themes automatically. No keyword lists to configure and no pre-training. Setup takes about 2 weeks.

Where Reforge Insights required teams to upload context documents (roadmaps, strategy docs) so its AI could interpret feedback, Unwrap's categorization is semantic from the start. It groups feedback by meaning. If 200 customers describe the same checkout friction in different words across 5 channels, Unwrap collapses that into one issue with a volume count and a trend line.

The platform sends proactive alerts to Slack and email when emerging themes spike, tracks feedback by ARR segment and account, and lets teams measure whether a shipped fix actually reduced complaint volume. GitHub's Copilot team, Perplexity, Stripe, Lyft, HOKA, DoorDash, and Oura all use it. Oura switched from a competitor after finding Unwrap's semantic grouping caught patterns their previous tool missed.

Why teams choose Unwrap over Reforge Insights

  • Semantic categorization works out of the box, with no taxonomy configuration or context document uploads required
  • Proactive real-time alerts surface emerging issues to Slack and email before they compound
  • Revenue impact tracking filters feedback by ARR segment, cohort, and account so teams can prioritize by business impact
  • 3,000+ integrations cover the full range of unstructured feedback sources, with most teams live in 2-3 weeks

Qualtrics XM – Best for survey-driven experience management programs

What Qualtrics XM does

Qualtrics is the dominant name in survey-driven experience management. The platform handles the full loop: design surveys, distribute them, collect responses, and analyze the results in one system. Recent AI additions include automated text analytics on open-text responses, AI-generated summaries of feedback themes, and real-time follow-up question generation based on what a respondent just said.

Qualtrics also recently shipped "Experience Agents," which are AI agents trained on company policies that can resolve issues surfaced through post-service surveys without a human stepping in.

Why teams choose Qualtrics XM over Reforge Insights

  • Full survey lifecycle in one platform, from design through analysis
  • AI-powered text analytics on open-text responses with automated theme summaries
  • Broad experience management coverage spanning CX, product, HR, and brand research
  • Well-suited for teams whose primary feedback comes from structured surveys and NPS programs rather than unstructured sources

Chattermill – Best for CX teams reporting on journey-level experience metrics

What Chattermill does

Chattermill uses deep learning to analyze feedback from surveys, support tickets, reviews, and social media. The dashboards are oriented around journey-level CX metrics, not product roadmap prioritization. Journey mapping, cross-channel sentiment tracking, and executive reporting are the core workflows.

Chattermill’s strongest capability is granular sentiment analysis. Chattermill breaks sentiment down by topic and subtopic, so a CX leader can see that customers feel positively about core functionality but negatively about billing, then drill into the specific complaints driving that gap.

Why teams choose Chattermill over Reforge Insights

  • Sentiment broken down by topic and subtopic, mapped to journey stages
  • Dashboards designed for CX leadership reporting, not product prioritization
  • Journey mapping ties feedback to specific touchpoints in the customer lifecycle
  • Strong fit for teams with a formal CX program and dedicated VoC headcount

UnitQ – Best for product quality monitoring and bug detection

What UnitQ does

UnitQ ingests feedback from app stores, support tickets, social media, and other channels, then uses AI to surface quality issues: bugs, crashes, performance regressions, broken workflows. It tracks these against a proprietary "Quality Score" that gives teams a single metric for overall product health.

The platform is fast at detecting spikes. A new iOS release breaks something, and UnitQ catches the feedback volume increase within hours.

Why teams choose UnitQ over Reforge Insights

  • Purpose-built for catching quality regressions and product bugs, not general feedback analysis
  • Real-time spike detection for rapid response to broken releases
  • Single quality metric gives engineering and QA teams a trackable health score
  • Strong fit for mobile-heavy and consumer-scale companies with high app store review volume

Thematic – Best for theme detection with strong visualization and reporting

What Thematic does

Thematic turns unstructured text into structured themes, then makes those themes easy to explore and report on. The visualization layer is one of the better ones in this category: theme hierarchies, trend lines, impact scoring, and comparison views designed for stakeholder decks.

The platform handles multiple languages well. For a global team running surveys in 8 languages and trying to identify consistent patterns, that cross-language capability matters. Thematic acquired Kapiche in 2023, which bolted on deeper quantitative analysis capabilities.

Why teams choose Thematic over Reforge Insights

  • Strong visualization and reporting tools built for presenting insights to stakeholders
  • Multi-language support for global feedback programs
  • Granular theme hierarchies with impact scoring and trend tracking
  • Best suited for teams whose primary feedback source is surveys and structured data collection

SentiSum – Best for automated support ticket tagging and routing

What SentiSum does

SentiSum auto-tags incoming support tickets using AI and routes them into helpdesk workflows. It started as a ticket classification tool and that's still where it's strongest. The platform answers operational questions: Why did ticket volume spike last week? Which product areas generate the most complaints? What's the resolution rate on billing issues compared to onboarding?

Integration with Zendesk, Freshdesk, and Intercom is tight. Tags get applied as tickets come in, replacing the manual categorization that degrades in quality over time.

Why teams choose SentiSum over Reforge Insights

  • Automatic ticket tagging replaces manual categorization with consistent, AI-driven classification
  • Deep helpdesk integrations plug directly into existing ticket routing and escalation workflows
  • Operationally focused: built for support leaders managing ticket volume, not PMs building roadmaps
  • Real-time alerting on volume spikes catches issues before they become P1 escalations

Medallia – Best for large enterprises with dedicated CX departments and multi-year program budgets

What Medallia does

Medallia is the enterprise incumbent in the VoC space. The platform covers the full CX lifecycle: surveys, digital feedback, contact center analytics, social listening, text analytics, and predictive modeling. It's designed for organizations with multiple business units, geographies, and reporting hierarchies that all need their own view of customer feedback.

For a hotel chain that wants location-level NPS tracking tied to operational metrics tied to regional rollups for the VP of Operations, Medallia handles that complexity natively. The implementation reflects the scope: months of professional services, dedicated training, and procurement-level pricing.

Why teams choose Medallia over Reforge Insights

  • Built for organizational complexity: role-based dashboards, multi-BU rollups, regional segmentation
  • Predictive modeling and operational data connections beyond what feedback-only tools offer
  • Full CX lifecycle coverage from survey design through contact center analytics
  • Requires dedicated CX headcount, executive sponsorship, and significant budget, so it's a poor fit for mid-market teams

FAQs

1. What did Reforge Insights do?

Reforge Insights was an AI-powered feedback analysis platform that aggregated customer feedback from multiple sources, identified themes, and connected qualitative patterns to business metrics. Its Context Engine let teams upload roadmaps and strategy documents so the analysis reflected company priorities. It worked best for B2C and PLG teams with high feedback volume.

2. What happened to Reforge?

Miro acquired Reforge on March 24, 2026. Reforge's learning platform will continue operating independently, but the product suite (Insights, Research, Build, Launch) is being integrated into Miro's ecosystem. 

3. What should I look for in a Reforge Insights alternative?

Teams evaluating alternatives typically prioritize multi-source feedback ingestion (support tickets, app reviews, surveys, social, chat transcripts), AI-powered theme detection that doesn't require manual taxonomy maintenance, real-time alerting on emerging issues, and the ability to connect qualitative feedback to business metrics like revenue impact and churn.

4. Do I need to switch away from Reforge Insights right now?

Not necessarily. Acquisitions don't always mean immediate product changes. But they do create uncertainty around roadmap priorities, feature investment, and long-term platform availability. Many teams use moments like this to evaluate whether their current tool is still the best fit, especially if they've been considering alternatives already.

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